() #23 Clemson (17-4)

1730.39 (139)

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# Opponent Result Effect % of Ranking Status Date Event
15 Vanderbilt Loss 6-8 -12.84 6.22% Jan 26th Clutch Classic 2019
108 Georgia Southern** Win 13-2 0 0% Ignored Jan 26th Clutch Classic 2019
52 Tennessee Win 13-2 9.69 7.24% Jan 26th Clutch Classic 2019
71 Tennessee-Chattanooga** Win 13-0 0 0% Ignored Jan 26th Clutch Classic 2019
26 Kennesaw State Win 9-4 34.88 5.99% Jan 27th Clutch Classic 2019
48 Auburn Win 11-3 14.44 6.65% Jan 27th Clutch Classic 2019
9 South Carolina Loss 7-8 10.75 6.43% Jan 27th Clutch Classic 2019
80 Alabama Win 8-7 -53.76 6.85% Feb 2nd Royal Crown Classic 2019
115 Emory-B** Win 11-1 0 0% Ignored Feb 2nd Royal Crown Classic 2019
85 South Florida Win 9-5 -26.45 6.62% Feb 2nd Royal Crown Classic 2019
71 Tennessee-Chattanooga** Win 9-3 0 0% Ignored Feb 2nd Royal Crown Classic 2019
115 Emory-B** Win 13-1 0 0% Ignored Feb 3rd Royal Crown Classic 2019
121 Florida-B** Win 11-2 0 0% Ignored Feb 3rd Royal Crown Classic 2019
71 Tennessee-Chattanooga** Win 13-2 0 0% Ignored Feb 3rd Royal Crown Classic 2019
54 Penn State Win 13-0 7.9 8.21% Feb 9th Queen City Tune Up 2019 Women
6 Pittsburgh Loss 3-8 -12.1 6.39% Feb 9th Queen City Tune Up 2019 Women
28 Florida Loss 7-9 -31.36 7.54% Feb 9th Queen City Tune Up 2019 Women
38 Harvard Win 12-3 25.59 7.88% Feb 9th Queen City Tune Up 2019 Women
57 Massachusetts Win 15-6 3.02 8.21% Feb 10th Queen City Tune Up 2019 Women
38 Harvard Win 11-5 24.38 7.54% Feb 10th Queen City Tune Up 2019 Women
51 Virginia Win 12-7 6.19 8.21% Feb 10th Queen City Tune Up 2019 Women
**Blowout Eligible

FAQ

The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.